ABSTRACT:
Arising technologies
related to vehicle-to-vehicle (V2V) communication can significantly improve the
safety and efficiency of connected vehicle systems. This allows cars to obtain
detailed information about the motion of distant vehicles and such information
can be presented to the driver or incorporated in advanced vehicle control
systems. However, when designing such controllers and the corresponding network
structure, one faces many fundamental challenges:(i) the system
must be robust against loss of connections and it must function for
heterogeneous traffic that include conventional vehicles;(ii) high level of modularity is
required which allow the formation and disband of ad-hoc convoys; (iii) the
controllers need to be able to tolerate the delays arising in the communication
channels. In this talk I discuss some novel decomposition techniques and design
principles that allow us to target these challenges systematically. Our results
lead to better understanding of longitudinal dynamics of multi-vehicle systems
and allow the design of their dynamics by exploiting the connected vehicle
environment.

BIO: Gabor Orosz received his MSc degree in Engineering Physics from
the Budapest University of Technology (Hungary) in 2002, and his PhD degree in
Engineering Mathematics from the University of Bristol (UK) in 2006.

He held postdoctoral positions at the University of Exeter (UK)
and at the University of California, Santa Barbara before he joined the Department
of Mechanical Engineering at the University of Michigan in 2010 as an assistant
professor. His research interests are in nonlinear dynamics and control of
complex networks and time-delay systems. Specifically, he is interested in
applications like connected vehicles and biological networks.